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Emerging Trends in Teledermatology Research: A Scientometric Analysis from 2002 to 2021
Jianzhao Luo1, Ziyu Yang1, Yao Xie2
1General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Summary
Teledermatology research is rapidly advancing, especially with mobile teledermoscopy. Emerging trends focus on skin cancer, artificial intelligence, and primary care for underserved populations, particularly post-COVID-19.
Area of Science:
- Dermatology
- Health Informatics
- Medical Technology
Background:
- Teledermatology (TD) research has surged with technological advancements.
- A comprehensive quantitative analysis identifying emerging TD trends, particularly during the COVID-19 pandemic, is needed.
Purpose of the Study:
- To conduct a scientometric analysis of TD research from 2002-2021.
- To explore emerging trends in teledermatology research.
Main Methods:
- Scientometric analysis using CiteSpace software.
- Identification of emerging trends through burst detection, co-cited reference clustering, and structural variability analysis (SVA).
Main Results:
- Analysis of 932 documents (2002-2021) revealed key research areas and collaborations.
- Prominent keywords include "primary care," "mobile teledermoscopy (TDS)," "skin cancer," "artificial intelligence (AI)," and "underserved population."
- Recent clusters highlight "COVID-19 pandemic," "skin cancer," "deep neural network," and "underserved population."
Conclusions:
- Emerging TD research trends, especially mobile TDS, are linked to skin cancer and AI.
- Future research may focus on primary care in underserved areas and AI applications in dermatology.
- Two reviews identified via SVA show potential for high future citation.
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